Job Posting Title Sr. Data Engineer – Enterprise Knowledge Engineering
Tasks
- Build semantic search using embeddings and vector databases
- Collaborate across data engineering knowledge management and platform teams
- Design and build enterprise knowledge and context capabilities
- Develop foundational services for AI data discovery and retrieval
- Develop retrieval-augmented generation capabilities
- Implement authorization auditability provenance and governance
- Implement search indexing relevance filtering ranking
- Integrate metadata management and data governance
- Model business terminology reference data and semantic models
- Process structured and unstructured enterprise content
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Audit Logging | Authorization | Business glossary | Collibra | Controlled vocabularies | Data Governance | Databricks | Delta Lake | Embedding Models | Hybrid search | Information Retrieval | Knowledge graphs | Language Models | Large Language Models | Metadata Management | Microsoft Word | Model Context Protocol | Ontologies | Orchestration | PDF Processing | Reference Data | Retrieval | Retrieval-Augmented Generation | Search & Ranking | Semantic Search | Taxonomies | Unity Catalog | Vector Database
Education
N/A
Roles
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